Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

Claude Fable 5.1Anthropic Remove
GLM 5.3Z.AI Remove
Muse Spark 1.3Meta Remove
Whisper Large V3OpenAI Remove

4 is the maximum. Remove one to add another.

claude-fable-5.1 vs glm-5.3 vs muse-spark-1.3 vs whisper-large-v3
Attribute	Claude Fable 5.1claude-fable-5.1	GLM 5.3glm-5.3	Muse Spark 1.3muse-spark-1.3	Whisper Large V3whisper-large-v3
Pricing
Input	$10.00 / 1M	$1.40 / 1M	$1.25 / 1M	$9.25 / 1M
Output	$50.00 / 1M	$4.40 / 1M	$4.25 / 1M	$0 / 1M
Cache Write (5m)	$12.50 / 1M	$1.40 / 1M	$1.25 / 1M	Not applicable
Cache Write (1h)	$20.00 / 1M	$1.40 / 1M	$1.25 / 1M	Not applicable
Cache Read	$1.00 / 1M	$1.40 / 1M	$1.25 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	1M	1M	N/A
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	No
Function Calling	Yes	Yes	Yes	No
JSON Mode	Yes	Yes	Yes	Yes
Streaming	Yes	Yes	Yes	No
Catalogue
Provider	Anthropic	Z.AI	Meta	OpenAI
Category	chat	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	—	—
Description
Summary	Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.	GLM-5.3 is Z.ai's large-scale reasoning model designed for complex software engineering and long-horizon agentic workflows. It supports text input and output with a 1M-token context window, enabling sustained reasoning across large codebases and extended multi-step tasks. Building on GLM-5.2, it delivers stronger coding performance while improving the balance between capability and token efficiency, making it well suited for autonomous coding agents, large-scale engineering workflows, and complex task execution.	Muse Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.	Whisper Large V3 is OpenAI's advanced open-source automatic speech recognition (ASR) model, supporting both audio transcription and translation across 99+ languages. It accepts common audio formats including mp3, mp4, wav, webm, flac, and ogg, and delivers strong performance in noisy, real-world conditions. With 1.55B parameters and a low 10.3% word error rate, it provides accurate, multilingual transcription with support for word- and segment-level timestamps, making it well suited for high-quality, noise-robust speech processing applications.